postprob: Posterior classification stemmed from a LCMM estimation
Description
This function is generic; method functions can be written to
handle specific classes of objects. For the moment, the only class which already has
methods for this function is hlme.
Usage
postprob(x,...)
Arguments
x
an object inheriting from class hlme, representing a fitted latent class
linear mixed-effects model
...
further arguments to be passed to or from other methods.
They are ignored in this function.
Details
This function provides the number of subjects classified a posteriori in each latent class, and the classification table that contains the mean of the posterior probability of belonging to each latent class over the subjects classified in each of the latent classes. This table aims at evaluating the quality of the posterior classification